A use case for a data management system for machine-to-machine communication was defined. A centralized system for managing data flow and storage is required for machines to securely communicate with other machines. Embedded devices are typical endpoints that must be serviced by this system and the system must, therefore, be easy to use. These systems have to bill the data usage of the machines that make use of its services. Data management systems are subject to variable load and must there- fore be able to scale dynamically on demand in order to service end- points. For robustness of such an online-service it must be highly available. By following design science research as the research methodology, cloud-based computing was investigated as a target deployment for such a data management system in this research project. An implementation of a cloud-based system was synthesised, evaluated and tested, and shown to be valid for this use case. Empirical testing and a practical field test validated the proposal. / Thesis (MIng (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2013.

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The popularity of decentralized systems is increasing day by day. These decentralized systems are preferable to centralized systems for many reasons, specifically they are more reliable and more resource efficient. Decentralized systems are more effective in the area of information management in the case when the data is distributed across multiple peers and maintained in a synchronized manner. This data synchronization is the main requirement for information management systems deployed in a decentralized environment, especially when data/information is needed for monitoring purposes or some dependent data artifacts rely upon this data. In order to ensure a consistent and cohesive synchronization of dependent/derived data in a decentralized environment, a dependency management system is needed. In a dependency management system, when one chunk of data relies on another piece of data, the resulting derived data artifacts can use a decentralized systems approach but must consider several critical issues, such as how the system behaves if any peer goes down, how the dependent data can be recalculated, and how the data which was stored on a failed peer can be recovered. In case of a churn (resulting from failing peers), how does the system adapt the transmission of data artifacts with respect to their access patterns and how does the system provide consistency management? The major focus of this thesis was to addresses the churn behavior issues and to suggest and evaluate potential solutions while ensuring a load balanced network, within the scope of a dependency information management system running in a decentralized network. Additionally, in peer-to-peer (P2P) algorithms, it is a very common assumption that all peers in the network have similar resources and capacities which is not true in real world networks. The peer‟s characteristics can be quite different in actual P2P systems; as the peers may differ in available bandwidth, CPU load, available storage space, stability, etc. As a consequence, peers having low capacities are forced to handle the same computational load which the high capacity peers handle, resulting in poor overall system performance. In order to handle this situation, the concept of utility based replication is introduced in this thesis to avoid the assumption of peer equality, enabling efficient operation even in heterogeneous environments where the peers have different configurations. In addition, the proposed protocol assures a load balanced network while meeting the requirement for high data availability, thus keeping the distributed dependent data consistent and cohesive across the network. Furthermore, an implementation and evaluation in the PeerfactSim.KOM P2P simulator of an integrated dependency management framework, D4M, was done. In order to benchmark the implementation of proposed protocol, the performance and fairness tests were examined. A conclusion is that the proposed solution adds little overhead to the management of the data availability in a distributed data management systems despite using a heterogeneous P2P environment. Additionally, the results show that the various P2P clusters can be introduced in the network based on peer‟s capabilities. / Populariteten av decentraliserade system ökar varje dag. Dessa decentraliserade system är att föredra framför centraliserade system för många anledningar, speciellt de är mer säkra och mer resurseffektiv. Decentraliserade system är mer effektiva inom informationshantering i fall när data delas ut över flera Peers och underhållas på ett synkroniserat sätt. Dessa data synkronisering är huvudkravet för informationshantering som utplacerade i en decentraliserad miljö, särskilt när data / information behövs för att kontrollera eller några beroende artefakter uppgifter lita på dessa data. För att säkerställa en konsistent och härstammar synkronisering av beroende / härledd data i en decentraliserad miljö, är ett beroende ledningssystem behövs. I ett beroende ledningssystem, när en bit av data som beror på en annan bit av data, kan de resulterande erhållna uppgifterna artefakter använd decentraliserad system approach, men måste tänka på flera viktiga frågor, såsom hur systemet fungerar om någon peer går ner, hur beroende data kan omräknas, och hur de data som lagrats på en felaktig peer kan återvinnas. I fall av churn (på grund av brist Peers), hur systemet anpassar sändning av data artefakter med avseende på deras tillgång mönster och hur systemet ger konsistens förvaltning? Den viktigaste fokus för denna avhandling var att behandlas churn beteende frågor och föreslå och bedöma möjliga lösningar samtidigt som en belastning välbalanserat nätverk, inom ramen för ett beroende information management system som kör i ett decentraliserade nätverket. Dessutom, i peerto- peer (P2P) algoritmer, är det en mycket vanlig uppfattning att alla Peers i nätverket har liknande resurser och kapacitet vilket inte är sant i verkliga nätverk. Peer egenskaper kan vara ganska olika i verkliga P2P system, som de Peers kan skilja sig tillgänglig bandbredd, CPU tillgängligt lagringsutrymme, stabilitet, etc. Som en följd, är peers har låg kapacitet tvingade att hantera sammaberäkningsbelastningen som har hög kapacitet peer hanterar vilket resulterar i dåligsystemets totala prestanda. För att hantera den här situationen, är begreppet verktygetbaserad replikering införs i denna uppsats att undvika antagandet om peer jämlikhet, så att effektiv drift även i heterogena miljöer där Peers har olika konfigurationer. Dessutom säkerställer det föreslagna protokollet en belastning välbalanserat nätverk med iakttagande kraven på hög tillgänglighet och därför hålla distribuerade beroende datakonsekvent och kohesiv över nätverket. Vidare ett genomförande och utvärdering iPeerfactSim.KOM P2P simulatorn av en integrerad beroende förvaltningsram, D4M, var gjort[.] De prestandatester och tester rättvisa undersöktes för att riktmärka genomförandet avföreslagna protokollet. En slutsats är att den föreslagna lösningen tillagt lite overhead för förvaltningen av tillgången till uppgifterna inom ett distribuerade system för datahantering, trots med användning av en heterogen P2P miljö. Dessutom visar resultaten att de olikaP2P-kluster kan införas i nätverket baserat på peer-möjligheter.

<p>  </p> <p>This project analyzes the concept of time efficiency in the data management process associated with the personnel training and competence assessments in the quality control (QC) laboratory of Nigeria’s foods and drugs authority (NAFDAC). The laboratory administrators are encumbered with a lot of mental and paper-based record keeping because the personnel training data is managed manually. Consequently, the personnel training and competence assessments in the laboratory are not efficiently conducted. The Microsoft Excel spreadsheet provided by a Purdue doctoral dissertation as a remedial to this is found to be deficient in handling operations in database tables. As a result, hence doctoral dissertation did not appropriately address the inefficiencies.</p> <p>The problem addressed by this study is the operational inefficiency that results from the manual or Excel-based personnel training data management process in the NAFDAC laboratory. The purpose, therefore, is to reduce the time it essentially takes to generate, obtain, manipulate, exchange, and securely store the personnel competence training and assessment data. To do this, the study developed a software system that is integrated with a relational database management system (RDBMS) to improve the manual/Microsoft Excel-based data management procedure. This project examines the operational (time) efficiencies in using manual or Excel-based format in comparison with the new system that this project developed, as a method to ascertain its validity.</p> <p>The data used in this qualitative research is from literary sources and from simulating the distinction between the times spent in administering personnel training and competence assessment using the New system developed by this study and the Excel system by another project, respectively. The fundamental finding of this study is that the idea of improving the operational (time) efficiency in the personnel training and competence assessment process in the QC laboratory is valid. Doing that will reduce human errors, achieve enhanced time-efficient operation, and improve personnel training and competence assessment processes.</p> <p>Recommendations are made as to the procedure the laboratory administrator must adopt to take advantage of the new system. The study also recommended the steps for the potential research to extend the capability of this project. </p>

Nowadays, Renewable Energy Sources (RES) are attracting more and more interest. Thus, many countries aim to increase the share of green energy and have to face with several challenges (e.g., balancing, storage, pricing). In this paper, we address the balancing challenge and present the MIRABEL project which aims to prototype an Energy Data Management System (EDMS) which takes benefit of flexibilities to efficiently balance energy demand and supply. The EDMS consists of millions of heterogeneous nodes that each incorporates advanced components (e.g., aggregation, forecasting, scheduling, negotiation). We describe each of these components and their interaction. Preliminary experimental results confirm the feasibility of our EDMS.

<p>The web and digital technologies have been continuously growing in the recent five years. The data generated from the Internet of Things (IoT) devices are heterogeneous, increasing data storage and management difficulties. The thesis developed user-friendly data management system frameworks in the local environment and cloud platform. The two frameworks applied to two applications in the industrial field: the agriculture informatics system and the personal healthcare management system. The systems are capable of information management and two-way communication through a user-friendly interface. </p>